Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks
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Yi Zheng | Enhong Chen | Qi Liu | J. Leon Zhao | Yong Ge | Yong Ge | Enhong Chen | J. Zhao | Qi Liu | Yi Zheng | J. Zhao | Enhong Chen
[1] Ian Witten,et al. Data Mining , 2000 .
[2] Honglak Lee,et al. Unsupervised feature learning for audio classification using convolutional deep belief networks , 2009, NIPS.
[3] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[4] Li Wei,et al. Fast time series classification using numerosity reduction , 2006, ICML.
[5] Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
[6] Yannis Manolopoulos,et al. Feature-based classification of time-series data , 2001 .
[7] Grgoire Montavon,et al. Neural Networks: Tricks of the Trade , 2012, Lecture Notes in Computer Science.
[8] Eamonn J. Keogh,et al. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping , 2012, KDD.
[9] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[10] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[11] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[12] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[13] Didier Stricker,et al. Introducing a modular activity monitoring system , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[14] Eamonn J. Keogh,et al. A Complexity-Invariant Distance Measure for Time Series , 2011, SDM.
[15] Jian Pei,et al. A brief survey on sequence classification , 2010, SKDD.
[16] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[17] Jake Bouvrie,et al. Notes on Convolutional Neural Networks , 2006 .
[18] Eamonn J. Keogh,et al. Time Series Classification under More Realistic Assumptions , 2013, SDM.
[19] Nicolas Pinto,et al. Why is Real-World Visual Object Recognition Hard? , 2008, PLoS Comput. Biol..
[20] Jason Lines,et al. A shapelet transform for time series classification , 2012, KDD.
[21] Hui Ding,et al. Querying and mining of time series data: experimental comparison of representations and distance measures , 2008, Proc. VLDB Endow..
[22] G Pfurtscheller,et al. Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[23] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[24] Eamonn J. Keogh,et al. Time series shapelets: a new primitive for data mining , 2009, KDD.
[25] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[26] George Manis,et al. Heartbeat Time Series Classification With Support Vector Machines , 2009, IEEE Transactions on Information Technology in Biomedicine.
[27] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.